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Showing 3851–3900 of 5629 papers

TitleStatusHype
Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing—0
Distributed Graph Neural Network Training: A Survey—0
Distributed Kernel K-Means for Large Scale Clustering—0
Distributed Low Precision Training Without Mixed Precision—0
Distributed Matrix-Based Sampling for Graph Neural Network Training—0
Distributed Multigrid Neural Solvers on Megavoxel Domains—0
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators—0
Distributed Training of Deep Learning Models: A Taxonomic Perspective—0
Distributed Transfer Learning with 4th Gen Intel Xeon Processors—0
Distributed U-net model and Image Segmentation for Lung Cancer Detection—0
Distribution-aware Dataset Distillation for Efficient Image Restoration—0
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training—0
Divide-Conquer-and-Merge: Memory- and Time-Efficient Holographic Displays—0
DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud—0
dMath: A Scalable Linear Algebra and Math Library for Heterogeneous GP-GPU Architectures—0
dMath: Distributed Linear Algebra for DL—0
DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model—0
dnaGrinder: a lightweight and high-capacity genomic foundation model—0
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning—0
Do Bayesian imaging methods report trustworthy probabilities?—0
Do better language models have crisper vision?—0
Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration—0
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning—0
Domain Adaptation for Sparse-Data Settings: What Do We Gain by Not Using Bert?—0
Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference—0
DPANET:Dual Pooling Attention Network for Semantic Segmentation—0
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures—0
Drift to Remember—0
Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation—0
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning—0
DSNet: An Efficient CNN for Road Scene Segmentation—0
D-SRGAN: DEM Super-Resolution with Generative Adversarial Networks—0
Dual Natural Gradient Descent for Scalable Training of Physics-Informed Neural Networks—0
DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs—0
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference—0
Dynamic Contrastive Distillation for Image-Text Retrieval—0
Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering—0
Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads—0
Dynamic High Resolution Deformable Articulated Tracking—0
Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference—0
Computationally Efficient 3D MRI Reconstruction with Adaptive MLP—0
Dynamic Sampling Rate: Harnessing Frame Coherence in Graphics Applications for Energy-Efficient GPUs—0
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning—0
Dynamic Transformer for Efficient Machine Translation on Embedded Devices—0
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification—0
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models—0
eACGM: Non-instrumented Performance Tracing and Anomaly Detection towards Machine Learning Systems—0
Early Detection of Coronary Heart Disease Using Hybrid Quantum Machine Learning Approach—0
Early Detection of Diabetic Retinopathy and Severity Scale Measurement: A Progressive Review & Scopes—0
Easy and Efficient Transformer: Scalable Inference Solution For Large NLP Model—0
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